What are the token costs and operational benchmarks for Llama 4 Maverick?

Llama 4 Maverick (Meta) is priced at $0.20 per 1M input tokens and $0.60 per 1M output tokens (with prompt cache reads at $0.050/1M tokens). Built on a Multimodal Sparse MoE (17B Active / 400B Total) architecture with a 1,048.576k token context window, it delivers 135ms TTFT latency at 175 tokens per sec and scores 62.4% on SWE-bench Verified, 73.8% on GPQA Diamond, 84.5% on MMLU-Pro, and 91% on MATH-500 (77 IVR).
Verified daily via automated API latency tests and official documentation.
Input / 1M $0.20
Output / 1M $0.60
Cache Read / 1M $0.050
Context Limit 1,048.576k
TTFT Latency 135ms
Throughput 175 t/s
SWE-bench 62.4%
GPQA Diamond 73.8%

Verified Capability Benchmarks

Composite Intelligence: 75.9/100
SWE-bench Verified
62.4%
GPQA Diamond
73.8%
MMLU-Pro
84.5%
MATH-500
91%
HumanEval Coding
92.6%

Architectural & Production Profile

Meta's flagship 128-expert open-weight multimodal MoE model delivering 1M context and rapid LPU/CS-3 inference throughput.

Optimal Production Workloads

High-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras.

Architecture
Multimodal Sparse MoE (17B Active / 400B Total)
Modalities
Text, Vision
Max Output Tokens
32,768 tokens
Blended Rate (3:1)
$0.300 / 1M

Verified Cloud Inference Endpoints Hosting Llama 4 Maverick

Compare latency, streaming speed, and token pricing across cloud API providers.

All Cloud Providers →
Inference Provider Role Input / 1M Output / 1M Avg TTFT Throughput
Google Gemini & Vertex AI → Partner Endpoint $0.20 $0.60 150ms 183.8 tok/s
Groq LPU Inference → Primary Host $0.20 $0.60 80ms 420 tok/s
Cerebras CS-3 Wafer-Scale Inference → Partner Endpoint $0.20 $0.60 70ms 560 tok/s

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Llama 4 Maverick $6.13

$0.20/1M in · $0.60/1M out

Prompt Cache: $0.050/1M read · $0.20/1M write

Gemini 4 Argon $76.25

$2.00/1M in · $10.00/1M out

Prompt Cache: $0.100/1M read · $0.50/1M write

Projected Monthly Cost Reduction
$70.13 / mo
(92.0% lower cost with Llama 4 Maverick)
Open Full Matchup Analysis →

Head-to-Head Comparisons Involving Llama 4 Maverick (36)

Versus Comparison →

Llama 4 Maverick vs Gemini 4 Argon

Llama 4 Maverick is 90.0% cheaper for input tokens ($0.20 vs. $2.00 per 1M tokens) and $0.60 vs. $10.00 for output tokens (10.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (715ms faster than Gemini 4 Argon) with 175 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 93.8% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Claude 4.5 Sonnet

Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (245ms faster than Claude 4.5 Sonnet) with 175 vs. 84 tok/s throughput. Claude 4.5 Sonnet leads coding evaluations at 75.8% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 84.2% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Claude Opus 5.5

Llama 4 Maverick is 95.0% cheaper for input tokens ($0.20 vs. $4.00 per 1M tokens) and $0.60 vs. $20.00 for output tokens (20.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (545ms faster than Claude Opus 5.5) with 175 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 93.2% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Gemini 3.8 Flash

Llama 4 Maverick is 20.0% cheaper for input tokens ($0.20 vs. $0.25 per 1M tokens) and $0.60 vs. $1.50 for output tokens (1.2x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (30ms faster than Llama 4 Maverick) with 210 vs. 175 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 79.2% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs GPT-5

Llama 4 Maverick is 92.0% cheaper for input tokens ($0.20 vs. $2.50 per 1M tokens) and $0.60 vs. $10.00 for output tokens (12.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (205ms faster than GPT-5) with 175 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 85.4% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs GPT-6 Astra

Llama 4 Maverick is 98.0% cheaper for input tokens ($0.20 vs. $10.00 per 1M tokens) and $0.60 vs. $50.00 for output tokens (50.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (605ms faster than GPT-6 Astra) with 175 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 96.0% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs DeepSeek V4 Pro

Llama 4 Maverick is 84.8% cheaper for input tokens ($0.20 vs. $1.32 per 1M tokens) and $0.60 vs. $3.96 for output tokens (6.6x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (385ms faster than DeepSeek V4 Pro) with 175 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 90.1% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs DeepSeek R1

Llama 4 Maverick is 63.6% cheaper for input tokens ($0.20 vs. $0.55 per 1M tokens) and $0.60 vs. $2.19 for output tokens (2.8x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (1315ms faster than DeepSeek R1) with 175 vs. 58 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 73.8% vs. 71.5% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs DeepSeek V4 Flash Vision (Exp)

Llama 4 Maverick is 9.1% cheaper for input tokens ($0.20 vs. $0.22 per 1M tokens) and $0.60 vs. $0.65 for output tokens (1.1x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (175ms faster than DeepSeek V4 Flash Vision (Exp)) with 175 vs. 165 tok/s throughput. DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 91.3% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs OpenAI o3

Llama 4 Maverick is 90.0% cheaper for input tokens ($0.20 vs. $2.00 per 1M tokens) and $0.60 vs. $8.00 for output tokens (10.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (1015ms faster than OpenAI o3) with 175 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 87.7% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Claude 4 Opus

Llama 4 Maverick is 98.7% cheaper for input tokens ($0.20 vs. $15.00 per 1M tokens) and $0.60 vs. $75.00 for output tokens (75.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (785ms faster than Claude 4 Opus) with 175 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 87.1% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Claude 3.7 Sonnet

Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (405ms faster than Claude 3.7 Sonnet) with 175 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 78.5% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Gemini 3.1 Pro

Llama 4 Maverick is 84.0% cheaper for input tokens ($0.20 vs. $1.25 per 1M tokens) and $0.60 vs. $10.00 for output tokens (6.2x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (285ms faster than Gemini 3.1 Pro) with 175 vs. 98 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 82.4% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Grok 4

Llama 4 Maverick is 92.0% cheaper for input tokens ($0.20 vs. $2.50 per 1M tokens) and $0.60 vs. $12.50 for output tokens (12.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (345ms faster than Grok 4) with 175 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 86.2% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Qwen 3.8 Flash Next

Qwen 3.8 Flash Next is 20.0% cheaper for input tokens ($0.16 vs. $0.20 per 1M tokens) and $0.47 vs. $0.60 for output tokens (1.2x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (145ms faster than Qwen 3.8 Flash Next) with 175 vs. 185 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 91.7% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is 62.5% cheaper for input tokens ($0.07 vs. $0.20 per 1M tokens) and $0.30 vs. $0.60 for output tokens (2.7x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (57ms faster than Llama 4 Maverick) with 265 vs. 175 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 73.8% vs. 68.4% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs OpenAI o4-mini

Llama 4 Maverick is 81.8% cheaper for input tokens ($0.20 vs. $1.10 per 1M tokens) and $0.60 vs. $4.40 for output tokens (5.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (545ms faster than OpenAI o4-mini) with 175 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 81.4% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs DeepSeek V3

DeepSeek V3 is 30.0% cheaper for input tokens ($0.14 vs. $0.20 per 1M tokens) and $0.28 vs. $0.60 for output tokens (1.4x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (275ms faster than DeepSeek V3) with 175 vs. 78 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 73.8% vs. 59.1% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Gemma 4 31B IT

Gemma 4 31B IT is 40.0% cheaper for input tokens ($0.12 vs. $0.20 per 1M tokens) and $0.36 vs. $0.60 for output tokens (1.7x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (20ms faster than Llama 4 Maverick) with 155 vs. 175 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 73.8% vs. 71.2% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs OpenAI o3-mini

Llama 4 Maverick is 81.8% cheaper for input tokens ($0.20 vs. $1.10 per 1M tokens) and $0.60 vs. $4.40 for output tokens (5.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (815ms faster than OpenAI o3-mini) with 175 vs. 98 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 73.8% vs. 79.7% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Claude 3.5 Haiku

Llama 4 Maverick is 75.0% cheaper for input tokens ($0.20 vs. $0.80 per 1M tokens) and $0.60 vs. $4.00 for output tokens (4.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (55ms faster than Claude 3.5 Haiku) with 175 vs. 130 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 73.8% vs. 41.6% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Claude 3.5 Sonnet

Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (175ms faster than Claude 3.5 Sonnet) with 175 vs. 80 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 73.8% vs. 59.4% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Gemini 2.0 Flash

Gemini 2.0 Flash is 50.0% cheaper for input tokens ($0.10 vs. $0.20 per 1M tokens) and $0.40 vs. $0.60 for output tokens (2.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (145ms faster than Gemini 2.0 Flash) with 175 vs. 185 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 73.8% vs. 63.6% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Gemini 2.5 Flash

Llama 4 Maverick is 33.3% cheaper for input tokens ($0.20 vs. $0.30 per 1M tokens) and $0.60 vs. $2.50 for output tokens (1.5x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (25ms faster than Llama 4 Maverick) with 180 vs. 175 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 58.0% for Gemini 2.5 Flash and 73.8% vs. 70.5% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Gemini 2.5 Pro

Llama 4 Maverick is 84.0% cheaper for input tokens ($0.20 vs. $1.25 per 1M tokens) and $0.60 vs. $10.00 for output tokens (6.2x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (565ms faster than Gemini 2.5 Pro) with 175 vs. 80 tok/s throughput. Gemini 2.5 Pro leads coding evaluations at 63.8% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 74.0% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs GLM-5.3-Flash

GLM-5.3-Flash is 40.0% cheaper for input tokens ($0.12 vs. $0.20 per 1M tokens) and $0.40 vs. $0.60 for output tokens (1.7x cost advantage). In terms of operational performance, GLM-5.3-Flash delivers lower response latency at 90ms TTFT (45ms faster than Llama 4 Maverick) with 175 vs. 175 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 52.8% for GLM-5.3-Flash and 73.8% vs. 63.5% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs GLM-5.3

Llama 4 Maverick is 42.9% cheaper for input tokens ($0.20 vs. $0.35 per 1M tokens) and $0.60 vs. $1.00 for output tokens (1.7x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (25ms faster than GLM-5.3) with 175 vs. 120 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 56.0% for GLM-5.3 and 73.8% vs. 67.0% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs GPT-4o Mini

GPT-4o Mini is 25.0% cheaper for input tokens ($0.15 vs. $0.20 per 1M tokens) and $0.60 vs. $0.60 for output tokens (1.3x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (85ms faster than GPT-4o Mini) with 175 vs. 140 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 73.8% vs. 40.2% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs GPT-4o

Llama 4 Maverick is 92.0% cheaper for input tokens ($0.20 vs. $2.50 per 1M tokens) and $0.60 vs. $10.00 for output tokens (12.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (145ms faster than GPT-4o) with 175 vs. 100 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 48.0% for GPT-4o and 73.8% vs. 53.6% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs GPT-6.1 Sol

Llama 4 Maverick is 90.0% cheaper for input tokens ($0.20 vs. $2.00 per 1M tokens) and $0.60 vs. $10.00 for output tokens (10.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (385ms faster than GPT-6.1 Sol) with 175 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 92.4% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Grok 3 Mini

Llama 4 Maverick is 33.3% cheaper for input tokens ($0.20 vs. $0.30 per 1M tokens) and $0.60 vs. $1.20 for output tokens (1.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (15ms faster than Grok 3 Mini) with 175 vs. 160 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 73.8% vs. 68.0% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Grok 3

Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (485ms faster than Grok 3) with 175 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 84.6% vs. 73.8% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct is 40.0% cheaper for input tokens ($0.12 vs. $0.20 per 1M tokens) and $0.30 vs. $0.60 for output tokens (1.7x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (10ms faster than Llama 3.3 70B Instruct) with 175 vs. 165 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 73.8% vs. 55.6% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Mistral Large 2 (2411)

Llama 4 Maverick is 90.0% cheaper for input tokens ($0.20 vs. $2.00 per 1M tokens) and $0.60 vs. $6.00 for output tokens (10.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (245ms faster than Mistral Large 2 (2411)) with 175 vs. 75 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 73.8% vs. 54.2% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs o1

Llama 4 Maverick is 98.7% cheaper for input tokens ($0.20 vs. $15.00 per 1M tokens) and $0.60 vs. $60.00 for output tokens (75.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (2465ms faster than o1) with 175 vs. 48 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 48.9% for o1 and 73.8% vs. 78.0% on GPQA Diamond.

Versus Comparison →

Llama 4 Maverick vs Qwen 3.8 27B

Llama 4 Maverick and Qwen 3.8 27B share identical input pricing at $0.20 per 1M tokens ($0.60 vs. $0.60 output). In terms of operational performance, Qwen 3.8 27B delivers lower response latency at 120ms TTFT (15ms faster than Llama 4 Maverick) with 140 vs. 175 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 58.4% for Qwen 3.8 27B and 73.8% vs. 68.0% on GPQA Diamond.

Frequently Asked Questions & Query Fan-Out

How much does Llama 4 Maverick cost per 1M tokens including prompt caching?

Llama 4 Maverick costs $0.20 per million input tokens and $0.60 per million output tokens. Cached input reads cost $0.050 per 1M tokens, reducing repeated context costs by 75%.

What are Llama 4 Maverick's coding and reasoning benchmark scores?

Llama 4 Maverick achieves 62.4% on SWE-bench Verified, 92.6% on HumanEval coding, 73.8% on GPQA Diamond graduate-level science, 84.5% on MMLU-Pro, and 91% on MATH-500, earning an overall Inference Value Ratio (IVR) of 77/100.

What is the context window, TTFT latency, and token throughput of Llama 4 Maverick?

Llama 4 Maverick supports a 1,048,576 token context window (32,768 max output tokens) and operates at 135ms average Time to First Token (TTFT) with 175 tokens/sec output streaming throughput.

What are the primary production use cases for Llama 4 Maverick?

High-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras.